Answer:
the answer is evaporation
Explanation: Evaporation is the process by which a liquid transforms into vapor (a gas). When some material is in its liquid phase, its particles are really close together (but not as much as we would see in a metal). As the temperature of the liquid increases, also does the kinetic energy of the particles. This cause the particles in the water to move a lot faster, thus its oscillations are larger. This causes an increase in the volume of the material.
Collagen is referred as the feature which is associated with the maturation phase of normal wound healing through its deposition on the wounded or injured area.
<h3>What is Collagen?</h3>
This is referred as a type of protein which is found in connective tissues and its role is to provide structural support to the different tissues which are found in the body system.
Collagen stimulates new tissue growth by attracting fibroblasts and encouraging deposition of more of it to the affected area. This helps the cells to be formed from pre-exising ones.
This is therefore the reason why collagen was chosen as the most appropriate choice in this type of scenario.
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Answer:
Mrs. Grayson, the much loved teacher of first grade, retired last year.
Explanation:
The subject of this sentence is Mrs. Grayson, and the sentence says she retired last year at age seventy two. "The much loved teacher" describes Mrs. Grayson, and should have a comma after (and before it).
The code chunk that lets the analyst create the phone_number column is: unite(customers, "phone_number", area_code, phone_num, sep="-"
<h3>What is a data frame?</h3>
A data frame refers to a two-dimensional array-like structure or table that is made up of rows and columns, which is typically used for storing data in R Studio using the R programming language.
In Computer programming, a data frame is a list of vectors that are all equal in length, and each column consist of values of one variable while each row consist of a set of values from each column.
<h3>The executable code in R Studio.</h3>
In this scenario, the code chunk that would be used to create a data frame that combines the two columns into a single column (phone_number) is:
- unite(customers, "phone_number", area_code, phone_num, sep="-"
Read more on data frame here: brainly.com/question/25558534
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